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Books > Reference & Interdisciplinary > Communication studies > Decision theory > General
Kulturen bzw. Gesellschaften in ihrer spezifischen Pragung haben systemischen Charakter und bedurfen einer ganzheitlichen Betrachtung. Im Zuge entwicklungspolitischer Massnahmen erfolgen Wissens- und Technologietransfer untrennbar vom Kulturtransfer. Eine Nahtstelle dieses Geschehens ist der Bildungsbereich. Aus einem anders gearteten kulturellen Kontext in einen bestimmten traditionellen Gesellschaftstypus hineinwirkende Massnahmen zwischenstaatlicher Entwicklungshilfe stellen eine Intervention in ein fremdes sozio-kulturelles Milieu dar. Die skizzierten Zusammenhange werden am Beispiel des Projektalltages an der deutsch-athiopischen Modellhochschule, der Adama University, aufgezeigt.
The premise of this book is that most activity in everyday life and work is based on tasks that are novel, infrequent in our experience, or variable with respect to the action to be taken. Such tasks require decisions to be made and actions taken in the face of ambiguous or incomplete information. Time pressure is frequently great and penalties for failure are severe. Examples include investing in markets, controlling industrial accidents, and detecting fraud. The environments in which such tasks occur defy a definition of optimal performance, yet the benefits of successful decision making are considerable. The authors refer to domains without criteria for optimal performance as competency-based and describe the able behaviour of individuals who work in them by the term competence. The chapters examine the propositions that metacognitive processes give structure to otherwise ill-structured tasks and are fundamental enablers of decision-making performance.
Knowledge in an Uncertain World is an exploration of the relation
between knowledge, reasons, and justification. According to the
primary argument of the book, you can rely on what you know in
action and belief, because what you know can be a reason you have
and you can rely on the reasons you have. If knowledge doesn't
allow for a chance of error, then this result is unsurprising. But
if knowledge does allow for a chance of error - as seems required
if we know much of anything at all - this result entails the denial
of a received position in epistemology. Because any chance of
error, if the stakes are high enough, can make a difference to what
can be relied on, two subjects with the same evidence and generally
the same strength of epistemic position for a proposition can
differ with respect to whether they are in a position to know.
This book presents recent advances in the theory and application of the Best-Worst Method (BWM). It includes selected papers from the Second International Workshop on Best-Worst Method (BWM2021), held in Delft, The Netherlands from 10-11 June, 2021, and provides valuable insights on why and how to use BWM in a diverse range of applications including health, energy, supply chain management, and engineering. The book highlights the use of BWM in different settings including single decision-making vs group decision-making, and complete information vs incomplete and uncertain situations. The papers gathered here will benefit academics and practitioners who are involved in multi-criteria decision-making and decision analysis.
Individual decision making can often be wrong due to misinformation, impulses, or biases. Collective decision making, on the other hand, can be surprisingly accurate. In Democratic Reason, Helene Landemore demonstrates that the very factors behind the superiority of collective decision making add up to a strong case for democracy. She shows that the processes and procedures of democratic decision making form a cognitive system that ensures that decisions taken by the many are more likely to be right than decisions taken by the few. Democracy as a form of government is therefore valuable not only because it is legitimate and just, but also because it is smart. Landemore considers how the argument plays out with respect to two main mechanisms of democratic politics: inclusive deliberation and majority rule. In deliberative settings, the truth-tracking properties of deliberation are enhanced more by inclusiveness than by individual competence. Landemore explores this idea in the contexts of representative democracy and the selection of representatives. She also discusses several models for the "wisdom of crowds" channeled by majority rule, examining the trade-offs between inclusiveness and individual competence in voting. When inclusive deliberation and majority rule are combined, they beat less inclusive methods, in which one person or a small group decide. Democratic Reason thus establishes the superiority of democracy as a way of making decisions for the common good.
Do the reasons we have for acting as we do derive from our concerns
and desires, or are there objective values in the world that we are
rationally required to pursue and protect? Alan Goldman argues for
the internalist or subjectivist view of practical reasons on the
grounds that it is simpler, more unified, and more comprehensible
than the rival objectivist position. He provides a naturalistic
account of practical rationality in terms of coherence within sets
of desires or motivational states, and between motivations,
intentions, and actions. Coherence is defined as the avoidance of
self-defeat, the defeat of one's own deepest concerns. The demand
for coherence underlies both practical and theoretical reason and
derives from the natural aims of belief and action. In clarifying
which desires create reasons, drawing on the literature of
cognitive psychology, Goldman offers conceptual analyses of
desires, emotions, and attitudes. Reasons are seen to derive
ultimately from our deepest occurrent concerns. These concerns
require no reasons themselves but provide reasons for many more
superficial desires.
Behavioural studies have shown that while humans may be the best decision makers on the planet, we are not quite as good as we think we are. We are regularly subject to biases, inconsistencies and irrationalities in our decision making. Decision Behaviour, Analysis and Support, published in 2009, explores perspectives from many different disciplines to show how we can help decision makers to deliberate and make better decisions. It considers both the use of computers and databases to support decisions as well as human aids to building analyses and some fast and frugal tricks to aid more consistent decision making. In its exploration of decision support it draws together results and observations from decision theory, behavioural and psychological studies, artificial intelligence and information systems, philosophy, operational research and organisational studies. This provides a valuable resource for managers with decision-making responsibilities and students from a range of disciplines, including management, engineering and information systems.
MOPGP is an international conference series devoted to multi-objective p- gramming and goal programming (MOP/GP). This conference brings together researchers and practitioners from different disciplines of Computer Science, Operational Research, Optimisation Engineering, Mathematical Programming and Multi-criteria Decision Analysis. Theoretical results and algorithmic developments in the ?eld of MOP and GP are covered, including practice and applications of MOP/GP in real-life situations. The MOP/GP international conferences are organised in a biennial cycle. The previous editions were held in United Kingdom (1994), Spain (1996), Canada (1998), Poland (2000), Japan (2002), and Tunisia (2004). The Seventh me- ing (MOPGP'06) was organised in the Loire Valley (Center-West of France) by X. Gandibleux, (University of Nantes, chairman) and V. T'Kindt (University of Tours, co-chairman). The conference was hosted during three days (June 12-14, 2006) by the old city hall of Tours which is located in the city centre of Tours. The conference comprised four plenary sessions (M. Ehrgott; P. Perny; R. Caballero and F. Ruiz; S. Oussedik) and six semi-plenary sessions (N. Jussien and V. Barichard; D. Corne and J. Knowles; H. Hoogeveen; M. Wiecek; E. Bampis; F. Ben Abdelaziz) and 82 regular talks. The (semi-)plenary speakers were invited, while the regular talks were selected by the international scienti?c committee composed of 61 eminent researchers on basis of a 4-pages abstract.
This book defends the view that any adequate account of rational decision making must take a decision maker's beliefs about causal relations into account. The early chapters of the book introduce the non-specialist to the rudiments of expected utility theory. The major technical advance offered by the book is a 'representation theorem' that shows that both causal decision theory and its main rival, Richard Jeffrey's logic of decision, are both instances of a more general conditional decision theory. The book solves a long-standing problem for Jeffrey's theory by showing for the first time how to obtain a unique utility and probability representation for preferences and judgements of comparative likelihood. The book also contains a major new discussion of what it means to suppose that some event occurs or that some proposition is true. The most complete and robust defence of causal decision theory available.
This book is a major new contribution to decision theory, focusing on the question of when it is rational to accept scientific theories. The author examines both Bayesian decision theory and confirmation theory, refining and elaborating the views of Ramsey and Savage. He argues that the most solid foundation for confirmation theory is to be found in decision theory, and he provides a decision-theoretic derivation of principles for how many probabilities should be revised over time. Professor Maher defines a notion of accepting a hypothesis, and then shows that it is not reducible to probability and that it is needed to deal with some important questions in the philosophy of science. A Bayesian decision-theoretic account of rational acceptance is provided together with a proof of the foundations for this theory. A final chapter shows how this account can be used to cast light on such vexing issues as verisimilitude and scientific realism.
Prospect Theory: For Risk and Ambiguity provides the first comprehensive and accessible textbook treatment of the way decisions are made both when we have the statistical probabilities associated with uncertain future events (risk) and when we lack them (ambiguity). The book presents models, primarily prospect theory, that are both tractable and psychologically realistic. A method of presentation is chosen that makes the empirical meaning of each theoretical model completely transparent. Prospect theory has many applications in a wide variety of disciplines. The material in the book has been carefully organized to allow readers to select pathways through the book relevant to their own interests. With numerous exercises and worked examples, the book is ideally suited to the needs of students taking courses in decision theory in economics, mathematics, finance, psychology, management science, health, computer science, Bayesian statistics, and engineering.
Decision analysis is a prescriptive theory that aids individuals or groups confronted with complex problems in a wide variety of contexts. By framing issues, identifying risks, eliciting stakeholder preferences, and suggesting alternative approaches, decision analysts can offer workable solutions in domains such as the environment, health and medicine, engineering and operations research, and public policy. This book is a mixture of historical and forward-looking essays on key topics in decision analysis. Part I covers the history and foundations of decision analysis. Part II discusses structuring decision problems, including the development of objectives and their attributes, and influence diagrams. Part III discusses probabilities and their elicitation and Bayes nets. Part IV discusses additive and multiplicative utilities, risk preferences, and 'option pricing' methods. Part V discusses risk analysis. Part VI puts decision analysis in a behavioral and organizational context. Part VII presents case studies of applications.
In Decision Space: Multidimensional Utility Analysis, first published in 2001, Paul Weirich increases the power and versatility of utility analysis and in the process advances decision theory. Combining traditional and novel methods of option evaluation into one systematic method of analysis, multidimensional utility analysis is a valuable tool. It provides formulations of important decision principles, such as the principle to maximize expected utility; enriches decision theory in solving recalcitrant decision problems; and provides in particular for the cases in which an expert must make a decision for a group of people. The multiple dimensions of this analysis create a decision space broad enough to accommodate all factors affecting an option's utility. The book will be of interest to advanced students and professionals working in the subject of decision theory, as well as to economists and other social scientists.
In Zeiten der Wissensgesellschaft, der Globalisierung und der damit verbundenen internationalen vergleichenden Studien nimmt die Untersuchung Bezug auf die Frage nach der Konkurrenzfahigkeit der Modernisierung des Systems Schule der letzten Jahre. Im Mittelpunkt der aktuellen Reformbestrebungen steht der Schuler. Vernachlassigt wird trotz der Pluralitat der erziehungswissenschaftlichen Theorien die Frage nach einer angemessenen Qualifikation der primaren, praktischen Agenten des Reformprozesses. Stehen die theoretischen Anspruche an eine adaquate, ideale Lehrerprofessionalitat im Widerspruch zum demografischen Alterungsprozess unserer Gesellschaft und somit der Lehrerkollegien? Am Beispiel der Bildungsreform des Bundeslandes Baden-Wurttemberg wurde nach Richtungsweisungen fur diese scheinbare Dichotomie mit der Absicht der qualitatssichernden Optimierung und gesundheitsfoerdernden Balancierung der Anforderungen und Herausforderungen des schulischen Umfeldes und den subjektiv-personellen Potenzen der Lehrer gesucht.
What is it that makes some of us better - or worse - than others at committing to a choice? What are the forces that hold us back, and how can we successfully overcome them?Every facet of our lives depends on the decisions we make. Yet, how often do we pause to reflect on our ability to make the best and smartest choices? The key is how we confront and refine thedecision making process.Joseph Bikart explores the intricacies of decision making, challenging us to understand why we make the choices we do. He explores how the true power of decisions, especially the toughest among them, help us to face our fears and may in turn change how we think aboutourselves.The book is broken into four clear parts and punctuated with short practical essays Bikart presents a lively and compelling exploration of the process of decision making covering;Indecision, indecision - what makes us indecisive? What holds us back and why? Where Art Thou? How and where we get stuck and the importance of relaxing one's grip. The Momentum of Decisiveness - Keeping our focus and proactivity. The Deciding Mind - making our smartest choices. Drawing from such different fields as philosophy, psychology, neurology, literature, art historyand theology, we are taken on a journey from the depths of procrastination to the elation of decision making. Presenting a fresh perspective on what to do at the proverbial fork in the road, Bikart's unique philosophy is insightful, thought provoking, and potentially life-changing.
At no time in the history of public education has there been such a dramatic discrepancy between accelerated standards and expectations and adequate funding for our schools. Much has been written about how to achieve new expectations in the realm of student achievement and the need for accountability and the restructuring of how education dollars are spent. Unfortunately, most of the input regarding the need for "belt-tightening" is unaccompanied by tangible solutions or suggestions and results only in hollow rhetoric or convenient political sound bytes. This journey into meaningful avenues for cost-savings in public education is clearly an exception. Any school official who reads this book will find a number of viable possibilities for saving money. The authors offer time-tested, practical ideas, which are proven to work. Features cost-saving tips for: * District and school-level administration * Curriculum, instruction, vocational and special education, student services, and media * Building and grounds, maintenance, pupil transportation, and food services * Community colleges The authors briefly review the literature for: * Managing decline in resources and discuss the problem of declining funds for schools and solution strategies * Generating alternative revenue sources in education Samples of strategic plans are also included. For educational administrators, state governors and senators, school boards, and school business officials.
Decision making is a crucial element in the field of medicine. The physician has to determine what is wrong with the patient and recommend treatment, while the patient has to decide whether or not to seek medical care, and go along with the treatment recommended by the physician. Health policy makers and health insurers have to decide what to promote, what to discourage, and what to pay for. Together, these decisions determine the quality of health care that is provided. Decision Making in Health Care, first published in 2000, is a comprehensive overview of the field of medical decision making - a rapidly expanding field that includes quantitative theoretical tools for modeling decisions, psychological research on how decisions are actually made, and applied research on how physician and patient decision making can be improved.
Gilboa and Schmeidler provide a new paradigm for modeling decision making under uncertainty. Case-based decision theory suggests that people make decisions by analogies to past cases: they tend to choose acts that performed well in the past in similar situations, and to avoid acts that performed poorly. The authors describe the general theory and its relationship to planning, repeated choice problems, inductive inference, and learning. They highlight its mathematical and philosophical foundations and compare it to expected utility theory as well as to rule-based systems.
Gilboa and Schmeidler provide a new paradigm for modeling decision making under uncertainty. Case-based decision theory suggests that people make decisions by analogies to past cases: they tend to choose acts that performed well in the past in similar situations, and to avoid acts that performed poorly. The authors describe the general theory and its relationship to planning, repeated choice problems, inductive inference, and learning. They highlight its mathematical and philosophical foundations and compare it to expected utility theory as well as to rule-based systems.
Die Entwicklung der Schularchitektur in Deutschland hatte, gunstigere gesellschaftliche Rahmenbedingungen vorausgesetzt, einen weitaus glucklicheren Verlauf nehmen koennen. Einer gedeihlicheren Entwicklung des Schulbaus in den deutschen Landern standen jedoch einerseits materielle Zwange, andererseits ideologische Bestrebungen traditionell als grosses Hindernis entgegen. Padagogische Belange gerieten allzuoft ins Hintertreffen. Mit dieser Problematik setzt sich die Arbeit auseinander: Die Schulbauentwicklung in Deutschland wird beginnend mit dem spaten 18. und fruhen 19. Jahrhundert anhand von historischen und zeitgenoessischen Beispielen erlautert. Neben der architektonischen Entwicklung sind in diesem Zusammenhang die mit ihr einhergehenden padagogischen und gesellschaftlichen Veranderungen von Bedeutung.
This book defends the view that any adequate account of rational decision making must take a decision maker's beliefs about causal relations into account. The early chapters of the book introduce the nonspecialist to the rudiments of expected utility theory. The major technical advance offered by the book is a "representation theorem" that shows that both causal decision theory and its main rival, Richard Jeffrey's logic of decision, are both instances of a more general conditional decision theory. In providing the most complete and robust defense of causal decision theory the book will be of interest to a broad range of readers in philosophy, economics, psychology, mathematics, and artificial intelligence.
Very Short Introductions: Brilliant, Sharp, Inspiring Everyone negotiates. Whenever any person, company, or country needs someone else to accomplish something, they must negotiate. Negotiation is essential for peace and international relations, but also for economically efficient trades and bargains in business, and for problem solving skills in workplaces, families, and interpersonal interactions. This Very Short Introduction provides a comprehensive and accessible review of both conceptual and behavioural approaches to the human process of negotiation. Carrie Menkel-Meadow draws on research in constituent fields of human psychology, diplomacy, law, business, anthropology, game theory, decision making, international relations, sociology, public policy, and economics, suggesting models for creative problem solving to often intractable problems. Considering that most people are tense and frightened of what they perceive to be scarce resource confrontations with opponents and competitors, Menkel-Meadow offers different ways to plan for and approach others to solve human problems and seek solutions that satisfy both parties. Alongside this, Menkel-Meadow summarises recent research on the variations of human behaviour, providing vivid examples from history and current affairs to solve some of the most difficult problems. ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area. These pocket-sized books are the perfect way to get ahead in a new subject quickly. Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable.
Now revised and updated, this introduction to decision theory is both accessible and comprehensive, covering topics including decision making under ignorance and risk, the foundations of utility theory, the debate over subjective and objective probability, Bayesianism, causal decision theory, game theory, and social choice theory. No mathematical skills are assumed, with all concepts and results explained in non-technical and intuitive as well as more formal ways. There are now over 140 exercises with solutions, along with a glossary of key terms and concepts. This second edition includes a new chapter on risk aversion as well as updated discussions of numerous central ideas, including Newcomb's problem, prisoner's dilemmas, and Arrow's impossibility theorem. The book will appeal particularly to philosophy students but also to readers in a range of disciplines, from computer science and psychology to economics and political science. |
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